Pedestrian Traffic Distribution Analysis Using Face Recognition Technology

Abstract

Pedestrian traffic distribution analysis in big public transport interchanges is aimed at improving transfer conditions, schedule optimization and route planning. Traditional survey of people flow is based on counting and interviewing of travellers. In the article, a new method of transport interchange analysis using image processing method is presented. In November 2009, Bemowo-Ratusz interchange in Warsaw has been subjected to detailed examination. The study was associated with the planned redevelopment. In parallel with the survey based on image processing methods, the traditional interview-based survey has been conducted in order to compare the results. Passenger transfer matrices obtained from optical analysis and traditional survey show good correlation. This proves the effectiveness and shows potential of image analysis methods for this kind of application. © Springer-Verlag Berlin Heidelberg 2013.